Triple

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Phrase: SNCF BB 36000 | Statement: [BB 22200, successor, SNCF BB 36000]

Target entity: SNCF BB 36000
Context triple: [BB 22200, successor, SNCF BB 36000]

• A. SNCF Class BB 15000
  The SNCF Class BB 15000 is a series of French electric locomotives built for high-speed passenger service on the 25 kV AC network, known for their reliability and extensive use on mainline routes such as the Paris–Strasbourg line.
• B. SNCF Class BB 26000
  The SNCF Class BB 26000, also known as the "Sybic," is a powerful French dual-voltage electric locomotive class used for both passenger and freight services across much of the national rail network.
• C. SNCF Class BB 22200
  The SNCF Class BB 22200 is a series of French dual-voltage electric locomotives widely used for both passenger and freight services across the national rail network.
• D. SNCF Class BB 7200
  The SNCF Class BB 7200 is a series of French electric locomotives introduced in the late 1970s, widely used for both passenger and freight services on the 1.5 kV DC network.
• E. SNCF Class B 83500
  The SNCF Class B 83500 is a type of bi-mode regional multiple unit train operated in France, notably used for TER regional services.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Entity: SNCF BB 36000
Triple: [BB 22200, successor, SNCF BB 36000]

The SNCF BB 36000 is a class of French electric locomotives designed for high-speed, multi-system international freight and passenger services across European rail networks.

Target entity: SNCF BB 36000
Target entity description: The SNCF BB 36000 is a class of French electric locomotives designed for high-speed, multi-system international freight and passenger services across European rail networks.

• A. SNCF Class BB 15000
  The SNCF Class BB 15000 is a series of French electric locomotives built for high-speed passenger service on the 25 kV AC network, known for their reliability and extensive use on mainline routes such as the Paris–Strasbourg line.
• B. SNCF Class BB 26000
  The SNCF Class BB 26000, also known as the "Sybic," is a powerful French dual-voltage electric locomotive class used for both passenger and freight services across much of the national rail network.
• C. SNCF Class BB 22200
  The SNCF Class BB 22200 is a series of French dual-voltage electric locomotives widely used for both passenger and freight services across the national rail network.
• D. SNCF Class BB 7200
  The SNCF Class BB 7200 is a series of French electric locomotives introduced in the late 1970s, widely used for both passenger and freight services on the 1.5 kV DC network.
• E. SNCF Class B 83500
  The SNCF Class B 83500 is a type of bi-mode regional multiple unit train operated in France, notably used for TER regional services.
• F. None of above. chosen